What is your feature suggestion?
Multimodal RAG ingestion pipeline within the agents-cli library to provide a standardized, high-level workflow for transforming raw data into searchable knowledge. As outlined in the Multimodal RAG Ingestion Pipeline.pdf, this feature would automate the tracking and processing of diverse content types—including text and rich media—through a managed lifecycle that ensures data integrity. By enabling a validation gate, the pipeline offers a secure method for reviewing information before it is converted
into high-dimensional embeddings for indexing.
What will this enable you to do?
Allow users to have a workable event-driven multimodal pipeline that can be expanded to meet use cases with a basic tool call to start enhancement. This abstract approach to state management and multimodal processing will allow developers to focus on building sophisticated, context-aware agents without having to manually orchestrate the underlying ingestion architecture.
Additional context
No response
What is your feature suggestion?
Multimodal RAG ingestion pipeline within the agents-cli library to provide a standardized, high-level workflow for transforming raw data into searchable knowledge. As outlined in the Multimodal RAG Ingestion Pipeline.pdf, this feature would automate the tracking and processing of diverse content types—including text and rich media—through a managed lifecycle that ensures data integrity. By enabling a validation gate, the pipeline offers a secure method for reviewing information before it is converted
into high-dimensional embeddings for indexing.
What will this enable you to do?
Allow users to have a workable event-driven multimodal pipeline that can be expanded to meet use cases with a basic tool call to start enhancement. This abstract approach to state management and multimodal processing will allow developers to focus on building sophisticated, context-aware agents without having to manually orchestrate the underlying ingestion architecture.
Additional context
No response